OLAC Record
oai:www.ldc.upenn.edu:LDC2025T16

Metadata
Title:LORELEI Ilocano Incident Language Pack
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Tracey, Jennifer, et al. LORELEI Ilocano Incident Language Pack LDC2025T16. Web Download. Philadelphia: Linguistic Data Consortium, 2025
Contributor:Tracey, Jennifer
Strassel, Stephanie
Graff, David
Arrigo, Michael
Wright, Jonathan
Bies, Ann
Date (W3CDTF):2025
Date Issued (W3CDTF):2025-11-17
Description:*Introduction* LORELEI Ilocano Incident Language Pack was developed by the Linguistic Data Consortium (LDC) and consists of approximately 8.9 million words of Ilocano monolingual text, 3.3 million words of English monolingual text, 3.2 million words of parallel Ilocano-English text, and 3 million words of data annotated for Entity Discovery and Linking and Situation Frames. It contains all of the text data, annotations, supplemental resources, and related software tools for the Ilocano language used in the DARPA LORELEI / LoReHLT 2019 Evaluation. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations like natural disasters or disease outbreaks. Linguistic resources for LORELEI include Representative Language Packs for over two dozen low resource languages, comprising data, annotations, basic natural language processing tools, lexicons and grammatical resources. Representative languages were selected to provide broad typological coverage, while incident languages were selected to evaluate system performance on a language whose identity was disclosed at the start of the evaluation. The evaluation protocol was based on a scenario in which some unforeseen event triggered a need for humanitarian and logistical support in a region where the predominant language was one that had received little or no attention in natural language processing (NLP) research. Evaluation participants provided NLP solutions, including information extraction and machine translation, based on limited resources and with limited development time. *Data* Ilocano is spoken in the Philippines. Data was collected in the following genres: news, social network, weblog, newsgroup, discussion forum, and reference material. Entity discovery and linking annotation identified entities to be detected by systems for scoring purposes. Situation frame analysis was designed to extract basic information about needs and relevant issues for planning a disaster response effort. Also included in this release are lexical and grammatical resources as well as three tools: two to recreate original source data from the processed XML material and the other to condition text data users download from X/Twitter. Monolingual and parallel text are presented in XML with associated dtds. Entity discovery and linking annotation and situation frame annotation are presented as tab delimited files. All text is UTF-8 encoded. The knowledge base for entity linking annotation for this corpus and all LORELEI Representative Language and Incident Language Packs is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10). *Acknowledgement* This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-15-C-0123. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of DARPA. Please view these samples: * English LTF XML * English PSM XML * Ilocano LTF XML * Ilocano PSM XML * Entity Linking Annotation TSV * Mentions Annotation TSV * Needs Annotation TSV *Updates* No updates at this time.
Extent:Corpus size: 553000 KB
Identifier:LDC2025T16
https://catalog.ldc.upenn.edu/LDC2025T16
ISLRN: 916-298-623-588-4
DOI: 10.35111/5b6x-2e75
Language:English
Iloko
Language (ISO639):eng
ilo
License:LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:Distribution: Web Download
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2025T16
Rights Holder:Portions © 2019 agenparl.eu, © 2018 American Radio Relay League, © 2016-2019 Amianan Balita Ngayon, © 2019 BBC, © 2018-2019 Bombo Radyo Philippines, © 2018-2019 Cable News Network. Turner Broadcasting System, Inc., © 2018 CBC/Radio-Canada, © 2019 Condé Nast, © 2018 Cordillera Peoples Alliance, © 2018 Crisis Group, © 2019 Dow Jones & Company, Inc., © 2018 Edipresse Media Asia Limited, ©2018 Express Newspapers, © 2018 Galadari Printing and Publishing LLC, © 2018 GardaWorld, © 2019 Got Questions Ministries, © 2018 Guardian News and Media Limited or its affiliated companies, © 2017-2019 Ilocos Sentinel - The Forerunner in Weekly News, © 2019 ISA, International Sociological Association, © 2018 Jpost Inc., © 2018 Los Angeles Times, © 2018 mb.com.ph, © 2018 Microsoft, © 2018 Mindanews, © 2019 National Geographic Society|National Geographic Partners, LLC, © 2018 News Pty Limited, © 2005-2019 Northern Dispatch, © 2018 npr, © 2018 Pacific Media Centre, © 2019 POLITICO LLC, © 2018 primer.com.ph, © 2018-2019 Remate News Central, © 2017-2019 RMN Networks, © 2018 Rogers Media, © 2018 South China Morning Post Publishers Ltd., © 2018 Special Broadcasting Service Corporation, © 2018-2019 SunStar Publishing Inc., © 2016-2019 Tawid News Magazine, © 2019 Telegraph Media Group Limited, © 2018 The Irish Times, © 2019 The New York Times Company, © 2018 The Social Justice Foundation, © 2018 The Times of Israel, © 2018 Toronto Star Newspapers Ltd., © 2019 United Methodist Communications, © 2018 United Nations Office for the Coordination of Humanitarian Affairs, © 2018 United Press International, Inc., © 2019 Vox Media, Inc., © 2018 Wells Media Group, Inc., © 2018 Winslow Record, © 2019, 2025 Trustees of the University of Pennsylvania
Subject:Iloko language
Subject (ISO639):ilo
Type (DCMI):Software
Text
Type (OLAC):primary_text

OLAC Info

Archive:  The LDC Corpus Catalog
Description:  http://www.language-archives.org/archive/www.ldc.upenn.edu
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2025T16
DateStamp:  2026-01-01
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Tracey, Jennifer; Strassel, Stephanie; Graff, David; Arrigo, Michael; Wright, Jonathan; Bies, Ann. 2025. Linguistic Data Consortium.
Terms: area_Asia area_Europe country_GB country_PH dcmi_Software dcmi_Text iso639_eng iso639_ilo olac_primary_text

Inferred Metadata

Country: Philippines
Area: Asia


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Up-to-date as of: Wed Jul 8 7:42:31 EDT 2026